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Software Engineer with 1+ years in data analysis and business intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Software Engineer with strong Python programming and data analysis skills, currently pursuing hands-on experience in data engineering, analytics, and business intelligence. Skilled at cleaning, analyzing, and visualizing data with a solid understanding of SQL and data processing to support decision-making.
FAST-NUCES
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
E-Commerce Sales Dashboard
January 1, 2025 – June 1, 2026
Developed an interactive E-Commerce Sales Dashboard in Power BI, handling end-to-end workflow from data importing and transformation. Designed dynamic visualizations including charts, filters, and slicers to analyze sales performance, customer behavior, and category-wise insights.
Vendor Sales Analysis
January 1, 2025 – June 1, 2026
Developed a Python-based data ingestion pipeline to clean and preprocess raw sales datasets, ensuring data accuracy and quality. Conducted Exploratory Data Analysis (EDA) using Pandas, Seaborn, and Matplotlib to uncover key sales trends and business patterns. Also performed hypothesis testing to drive data-driven decision-making.
AI Healthcare Bot (FYP)
January 1, 2025 – June 1, 2026
Built an AI-powered symptom-based healthcare chatbot for rural communities in Pakistan, handling end-to-end data pipeline including dataset collection and preprocessing. Applied Random Forest and TF-IDF models for disease classification, integrated GPT-4 API for conversational intelligence, and implemented backend session storage for user data management.
Data Cleaning & Data Visualization
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in data analysis, business intelligence, and AI/healthcare applications. The 'AI Healthcare Bot' project, in particular, shows an inclination towards impactful and community-focused work. The academic background in Software Engineering aligns with a technical role. The breadth of tools and technologies used (Python, Power BI, SQL, MongoDB, Git/GitHub) suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach to data quality and analysis. The 'AI Healthcare Bot' project suggests an ability to tackle complex problems with social impact, demonstrating initiative and problem-solving skills. However, without specific psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.